Traditional adaptive steganography is a technique used for covert communication with high security, but it is invalid in the case of stego images are sent to legal receivers over networks which is lossy, such as JPEG compression of channels. To deal with such problem, robust adaptive steganography is proposed to enable the receiver to extract secret messages from the damaged stego images. Previous works utilize reverse engineering and compression-resistant domain constructing to implement robust adaptive steganography. In this paper, we adopt modification with re-compression scheme to improve the robustness of stego sequences in stego images. To balance security and robustness, we move the embedding domain to the low frequency region of DCT (Discrete Cosine Transform) coefficients to improve the security of robust adaptive steganography. In addition, we add additional check codes to further reduce the average extraction error rate based on the framework of E-DMAS (Enhancing Dither Modulation based robust Adaptive Steganography). Compared with GMAS (Generalized dither Modulation based robust Adaptive Steganography) and E-DMAS, experiment results show that our scheme can achieve strong robustness and improve the security of robust adaptive steganography greatly when the channel quality factor is known.

中文翻译：

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基于抖动调制和再压缩修正的鲁棒自适应隐写术

传统的自适应隐写术是一种用于高安全性隐蔽通信的技术，但在隐写图像通过有损网络发送给合法接收者的情况下是无效的，例如通道的JPEG压缩。为了解决这个问题，提出了鲁棒的自适应隐写术，使接收器能够从损坏的隐写图像中提取秘密信息。以前的工作利用逆向工程和抗压缩域构造来实现稳健的自适应隐写术。在本文中，我们采用带有重新压缩方案的修改来提高隐写图像中隐写序列的鲁棒性。为了平衡安全性和鲁棒性，我们将嵌入域移动到 DCT（离散余弦变换）系数的低频区域，以提高鲁棒自适应隐写术的安全性。此外，我们在 E-DMAS（基于增强抖动调制的鲁棒自适应隐写术）框架的基础上添加了额外的校验码，以进一步降低平均提取错误率。与GMAS（基于广义抖动调制的鲁棒自适应隐写术）和E-DMAS相比，实验结果表明，在信道质量因子已知的情况下，我们的方案可以实现很强的鲁棒性，大大提高鲁棒自适应隐写术的安全性。